DEPLOYMENT_CHECKLIST.md

🚀 HF Spaces Deployment Checklist

Pre-Deployment Checklist

✅ Files Ready

• app.py - Main application (✅ Verified working)
• requirements_hf.txt - HF-optimized dependencies (✅ Created)
• README_HF.md - Space documentation (✅ Ready)
• agents/ directory - Agent system (✅ Present)
• kg_services/ directory - KG services (✅ Present)
• data/ directory - Initial data files (✅ Present)
• schemas/ directory - Data schemas (✅ Present)

✅ Environment Configuration

• OpenAI API key obtained (⚠️ Required)
• API billing enabled (⚠️ Required)
• .env.hf template created (✅ Ready)

✅ Technical Verification

Dependencies Test

uv pip install -r requirements_hf.txt

Status: ✅ PASSED - All dependencies install correctly

Import Test

python -c "import app; print('App imports successfully')"

Status: ✅ PASSED - No import errors

Startup Test

timeout 10s python app.py

Status: ✅ PASSED - App starts with all components:

• ✅ Embedding service initializes
• ✅ Knowledge graph loads (4 tools, 8 prompts)
• ✅ Vector index builds successfully
• ✅ FastAPI server starts on 0.0.0.0:7862
• ✅ Gradio UI mounts at /ui
• ✅ API docs available at /docs

HF Space Configuration

Space Settings

# Space Configuration
title: KGraph-MCP
emoji: 🧠
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.33.0
app_file: app.py
pinned: false
license: apache-2.0

Required Secrets

• OPENAI_API_KEY: [Your OpenAI API Key]

Optional Secrets (Recommended)

• LOG_LEVEL: INFO
• APP_ENV: production

Deployment Steps

1. Create HF Space

1. Go to https://huggingface.co/spaces
2. Click "Create new Space"
3. Configure with settings above
4. Set visibility (Public/Private)

2. Upload Files

• Upload all required files and directories
• Rename README_HF.md to README.md

3. Configure Secrets

• Add OPENAI_API_KEY in Space settings > Secrets
• Add optional environment variables

4. Deploy & Test

• HF will automatically build and deploy
• Test all functionality once live

Post-Deployment Verification

Functional Tests

• Space loads without errors
• Gradio UI is accessible
• API endpoints respond correctly
• Tool suggestion works
• Plan generation works
• Example queries work
• Error handling works

Performance Tests

• Cold start time < 30 seconds
• Query responses < 10 seconds
• Memory usage stable
• No memory leaks

Troubleshooting Guide

Common Issues

1. "Module not found"

   • Verify all directories uploaded
   • Check requirements_hf.txt

2. OpenAI API errors

   • Check API key in secrets
   • Verify billing enabled
   • Check rate limits

3. Slow startup

   • Normal for first run (embedding generation)
   • Should be faster on subsequent starts

4. Memory issues

   • Check if all dependencies are minimal
   • Monitor Space resource usage

Success Metrics

Performance Targets

• ✅ Startup time: < 30 seconds
• ✅ Query response: < 10 seconds
• ✅ Memory usage: < 1GB
• ✅ API response time: < 5 seconds

Functionality Requirements

• ✅ Tool suggestion accuracy
• ✅ Plan generation quality
• ✅ Error handling robustness
• ✅ UI responsiveness

Final Checklist

Before marking Task 5.5 as complete:

• All files uploaded to HF Space
• Secrets configured correctly
• Space deploys successfully
• All features tested and working
• Performance within acceptable limits
• Documentation updated with Space URL
• Team notified of deployment

---

Status: Ready for HF Spaces deployment 🚀

Next Steps:

1. Create HF Space
2. Upload files
3. Configure secrets
4. Test deployment
5. Mark Task 5.5 as Done